A web server for comparative analysis of single-cell RNA-seq data
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
Link
http://www.nature.com/articles/s41467-018-07165-2.pdf
Reference33 articles.
1. Kolodziejczyk, A., Kim, J. K., Svensson, V., Marioni, J. & Teichmann, S. The technology and biology of single-cell rna sequencing. Mol. Cell 58, 610–620 (2015).
2. Wills, Q. F. et al. Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments. Nat Biotechnol. 31, 748–752 (2013).
3. Zeisel, A. et al. Cell types in the mouse cortex and hippocampus revealed by single-cell rna-seq. Science 347, 1138–1142 (2015).
4. Patel, A. P. et al. Single-cell rna-seq highlights intratumoral heterogeneity in primary glioblastoma. Science 344,1396–1401 (2014).
5. Lescroart, F. et al. Defining the earliest step of cardiovascular lineage segregation by single-cell rna-seq. Science 359, 1177–1181 (2018).
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